Ms. Harnani Hassan Profile

Harnani Hassan

at Loughborough Uni

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Proceedings Article | 5 March 2015 Paper

A dynamic opto-physiological model to effectively interpret retinal microvascular circulation

Harnani Hassan, Sijung Hu, Vincent Dwyer

Proceedings Volume 9315, 931505 (2015) https://doi.org/10.1117/12.2076899

KEYWORDS: Tissues, Tissue optics, Retina, Blood, Sclera, Eye, Oxygen, Absorption, Scattering, Light scattering

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The demand of non-invasive ocular screening is rapidly growing due to an increase of age related eye diseases worldwide. An indeed in-depth understanding of optical properties is required to elucidate nature of retinal tissue. The research aims to investigate an effective biomedical engineering approach to allow process region of interests (ROIs) in eyes to reveal physiological status. A dynamic opto-physiological model (DOPM) representing retinal microvascular circulation underlying a diffusion approximation to solve radiative transport theorem (RTT) has being developed to interpret patho-physiological phenomena. DOPM is being applied in imaging photoplethysmography (iPPG) to extract PPG signals from a series of 2D matrix images to access blood perfusion and oxygen saturation distributions. A variation of microvascular circulation could be mapped for an effectively diagnostic screening. The work presents mathematical modelling based ten layers of ocular tissue tested with four set of controlled parameters demontrated detection ratio between normal tissue damage or abnormal tissue and significant change of AC signal amplitude in these tissues. The result shows signicant change of AC signal amplitude in abnormal tissue. The preliminary results show extractable PPG signals from eye fundus video; experimented at five ROIs: whole fundus, optical disk, main vein vessel, lesion area and affected area. The outcome shows optical disk region gave a better performance compared to whole fundus region and main vein vessel. The robustness, miniaturization and artefact reduction capability of DOPM to discriminate oxygenation levels in retina could offer a new insight to access retinal patho-physiological status.

Proceedings Article | 5 March 2015 Paper

A new engineering approach to reveal correlation of physiological change and spontaneous expression from video images

Fenglei Yang, Sijung Hu, Xiaoyun Ma, Harnani Hassan, Dongqing Wei

Proceedings Volume 9315, 93150M (2015) https://doi.org/10.1117/12.2077120

KEYWORDS: Video, 3D modeling, Heart, Analytical research, Head, Blood, Databases, Time-frequency analysis, Motion models, Photoplethysmography

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Spontaneous expression is associated with physiological states, i.e., heart rate, respiration, oxygen saturation (SpO2%), and heart rate variability (HRV). There have yet not sufficient efforts to explore correlation of physiological change and spontaneous expression. This study aims to study how spontaneous expression is associated with physiological changes with an approved protocol or through the videos provided from Denver Intensity of Spontaneous Facial Action Database. Not like a posed expression, motion artefact in spontaneous expression is one of evitable challenges to be overcome in the study. To obtain a physiological signs from a region of interest (ROI), a new engineering approach is being developed with an artefact-reduction method consolidated 3D active appearance model (AAM) based track, affine transformation based alignment with opto-physiological mode based imaging photoplethysmography. Also, a statistical association spaces is being used to interpret correlation of spontaneous expressions and physiological states including their probability densities by means of Gaussian Mixture Model. The present work is revealing a new avenue of study associations of spontaneous expressions and physiological states with its prospect of applications on physiological and psychological assessment.

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